The subject of the article is the study of the color characteristics of video dermatoscopic images of affected skin areas of children with atopic dermatitis and the development of an automated diagnostic system for processing and analysis of dermatoscopic images. The aim of the work is to develop an objective method for assessing the skin condition of children with atopic dermatitis based on numerical analysis of images of affected skin areas. The objectives of the work were to collect a life history of children with atopic dermatitis, study the color characteristics of video dermatoscopic images of affected skin areas and further develop an automated diagnostic system for processing and analyzing dermatoscopic information. Research Methods. During the diagnostic examinations of children with atopic dermatitis, a history of life was collected and the initial dermatological status of patients was described. A comprehensive assessment of the severity of the disease was performed using the SCORAD index. Image registration was carried out using a UM039 digital video dermatoscope with optical magnification up to 200 times, resolution of the receiving matrix 2880 × 1800 image elements, equipped with a built-in block of adjustable LED lighting, a tripod and a rotary 3-inch display. The images were captured on a microSD card with subsequent transfer of data to the database on the computer. The results of the study, based on the data obtained, allowed us to assess the intensity and dynamics of the inflammatory processes of the affected areas of the skin of children with atopic dermatitis and to formulate the principles of the automated diagnostic system for processing and analysis of dermatoscopic images. Conclusion. At the end of the study, the authors conclude that to monitor the skin condition in the treatment of atopic dermatitis, the analysis of the color components of the affected areas on the HSV scale can be used, which allows the specialist to intuitively observe the results of the therapy in a natural color space for human perception. As prospects for the development of the work, the authors substantiate the prerequisites for the development of a complete automated system for the comprehensive diagnosis of atopic dermatitis and its clinical trial. Such a system can make it possible to form a preliminary diagnosis and determine the severity of the disease based on the evaluation of color channels of images of affected skin areas and additional diagnostic data.

The subject of the research is the development of a method for prognostic assessment of the condition of patients with atopic dermatitis at different stages of the disease. The goal of the work is to study the informativeness of immunological indicators and data from dermatoscopic examinations in order to expand the possibilities of prognostic objectification of methods for assessing the condition of patients with atopic dermatitis with varying degrees of severity of the disease. The task of the work includes objectifying the blurring of assessment standards when analyzing the transition from one stage of the disease to another. Methods. The solution to this problem is possible when assessing the possibility of using models of parametric recognition (discrimination) using indicators of immunoglobulins in blood serum and indicators of immunograms, as well as color characteristics of skin areas based on the analysis of dermatoscopic images at various degrees of severity of the disease. Result. In the course of the study, the analysis of the color characteristics of the skin showed that when immunological blood parameters are added to the discrimination model, the probability of an error in making prognostic decisions significantly decreases. Predictive assessment of the condition of a patient with atopic dermatitis only by the color characteristics of the skin makes it possible to control this pathology with a higher degree of probability, which makes it possible to use the digital dermatoscopy method independently for express objectification of the condition of a patient with atopic dermatitis without waiting for the data of immunological analyzes. When a new patient appears, the above indicators are calculated for him and the normalized Euclidean distances to the center of the clusters corresponding to the studied pathologies are calculated. The calculated distances can be ranked and the probabilities of correspondence of the given case to specific pathologies can be determined. Conclusions. The prospect of further work is to substantiate the metrological characteristics of the method to eliminate possible systematic errors associated with the method of obtaining optical information.

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Background: One of the most common inflammatory chronic and recurrent skin diseases is acne (“acne vulgaris”), which appears itself as open or closed comedones and inflammatory skin lesions in the form of papules, pustules, nodes, etc. It has been established that acne is one of the most common dermatoses, since, according to modern data, it affects about 9.4% of the population. During adolescence, up to 90% of people suffer, and in adulthood — about 20% with varying degrees of severity. Currently, there are many approaches to treating this disease through various cosmetic treatments such as phototherapy, ultrasonic skin cleansing, Mesotherapy, chemical peels, and medication. Therefore, the development of methods and means of differential diagnosis of acne is one of the urgent tasks in the field of biomedical engineering, dermatology, and clinical medicine, since this allows timely identification of the localization of the disease, its causes, and prescribing appropriate treatment. However, the solution to the problem of monitoring the dynamics of external manifestations of the disease is possible only with the use of combined mathematical methods for image analysis. Objectives: To develop a comprehensive method for analyzing dermatoscopic images for monitoring the external manifestations of acne disease during treatment and isolating the affected areas of the facial skin. Materials and Methods: Dermatological preclinical researches of the skin were conducted in the laboratory of 3D-biomedical technologies of the Department of Biomedical Engineering of the Kharkiv National University of Radio Electronics, using a digital videodermatoscope BIO Bm6+ in daylight and a portable skin analyzer Skin Scope F-102 in the ultraviolet range. Clinical researches were conducted based on the Department of Pediatric Propaedeutics #2 of the Kharkiv National Medical University. The development of a software tool for image analysis was conducted out in Python programming using the libraries OpenCV, Scikit-image, Numpy, PIL, Mathplotlib. Determination of the affected skin areas and calculation of the parameters of inflammation were carried out using multi-Otsu methods and morphological segmentation of digital dermatoscopic images. Results: During the research, automated software was developed that allows to analyze in dynamics the nature of inflammatory processes and the area of facial skin lesions, as well as to carry out a differential diagnosis of acne disease. The proposed method for the analysis of dermatoscopic images makes it possible to perform color segmentation and obtain a map of the gradations of skin inflammations to control the dynamics during the prescribed treatment. Conclusions: The comprehensive method of analysis of dermatoscopic images of the skin of the face makes it possible to effectively control the condition of the skin of the face from acne during treatment, while analyzing the degree of inflammatory processes and the area of lesions, where, using the developed software, in an automated mode, red gradations are calculated to detect the boundaries of inflammation, geometric parameters and percentage of lesions in relation to healthy facial skin.

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